Endogeneity test for variable lags. by Yunying Cai (20721812)

“…Diverse policies help to better stimulate regional innovation and entrepreneurship influence on residents’ leisure consumption. …”

Mediation effect test of educational investment. by Yunying Cai (20721812)

“…Diverse policies help to better stimulate regional innovation and entrepreneurship influence on residents’ leisure consumption. …”

Descriptive statistics of the main variables. by Yunying Cai (20721812)

“…Diverse policies help to better stimulate regional innovation and entrepreneurship influence on residents’ leisure consumption. …”

MWM training data. by Robert Botelho (20308297)

Opioid consumption data. by Wali U. Pirzada (22278071)

“…Mean percent reduction in prescription size was greater in the Orthopaedic Surgery cohort (45% versus 38%) (p = .002). …”

Prescription data. by Wali U. Pirzada (22278071)

“…Mean percent reduction in prescription size was greater in the Orthopaedic Surgery cohort (45% versus 38%) (p = .002). …”

Refill rate by surgical specialty. by Wali U. Pirzada (22278071)

“…Mean percent reduction in prescription size was greater in the Orthopaedic Surgery cohort (45% versus 38%) (p = .002). …”

Noncontinuous data on opioid use. by Wali U. Pirzada (22278071)

“…Mean percent reduction in prescription size was greater in the Orthopaedic Surgery cohort (45% versus 38%) (p = .002). …”

Longitudinal assessment of animal weights and tumor metrics. by Robert Botelho (20308297)

High-affinity choline Uptake (HACU) in the Cortex, Striatum, and Hippocampus of non-tumor and tumor-bearing mice. by Robert Botelho (20308297)

Factors associated with the <i>SS</i> Positives. by Anuradha Rajamanickam (5278013)

“…<div><p><i>Strongyloides stercoralis (Ss)</i> is a parasitic infection affecting 50–100 million people globally, with significant immune and metabolic consequences, particularly in immunocompromised individuals. …”

The incidence of grooming is most influenced by the addition of an opaque divider, as compared to manipulanda. by Matthew D. Boulanger (22600966)

lncCyt b cooperates with hnRNPA2B1 to modulate glycolysis and exhibits physiological significance. by Jia Li (160557)

<b>Nest mass in forest tits </b><b><i>Paridae</i></b><b> </b><b>increases with elevation and decreasing body mass, promoting reproductive success</b> by Clara Wild (19246606)

“…We predicted that nest mass should increase with elevation and canopy openness, due to thermoregulation being more demanding in colder or warmer climatic conditions, and decrease with body mass, as larger species have greater thermoregulatory capabilities. …”

The technical route of the study. by Hongliang Zou (20707270)

“…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”

Point cloud fusion instance effect. by Hongliang Zou (20707270)

“…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”

Experimental results in the SubT-MRS dataset. by Hongliang Zou (20707270)

“…The highest root-mean-square error recorded was 2.72m in five sequences from a multi-modal multi-scene ground robot dataset, which was significantly lower than competing approaches. …”

Univariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”

Overview of individuals in the study. by Zachary E. M. Giovannini-Green (22008277)

“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”

Multivariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”